Design of Fuzzy Entropy for Non Convex Membership Function

2008 ◽  
pp. 55-60 ◽  
Author(s):  
Sanghyuk Lee ◽  
Sangjin Kim ◽  
Nam-Young Jang
Keyword(s):  
Membership Function ◽  
Fuzzy Entropy

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

METHOD FOR DETERMINING MEMBERSHIP FUNCTION BASED ON EQUIDISTANT POINTS

2020 ◽  
Author(s):  
Vadym Slyusar ◽  
Vladyslav Sotnyk ◽  
Mariia Bondarchuk ◽  
Artem Kupchyn ◽  
Mykola Bilokur
Keyword(s):  
Membership Function ◽  
Equidistant Points

A New Complexity Metric of Chaotic Pseudorandom Sequences Based on Fuzzy Entropy

2011 ◽  
Vol 33 (5) ◽  
pp. 1198-1203 ◽  
Author(s):  
Xiao-jun Chen ◽  
Zan Li ◽  
Bao-ming Bai ◽  
Wei Pan ◽  
Qing-hua Chen
Keyword(s):  
Fuzzy Entropy ◽  
Pseudorandom Sequences
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